Papers
52
Total Citations
1,505
H-Index
21
About
Yasamin Mostofi is a pioneering researcher at the intersection of robotics, wireless communications, and signal processing, whose work has fundamentally advanced how autonomous systems perceive and navigate complex environments. Best known for developing the remarkable capability of "X-ray vision" using only WiFi power measurements, her research has demonstrated that unmanned vehicles can image unknown areas through thick walls without specialized hardware — a breakthrough with profound implications for search-and-rescue, security, and surveillance applications. Her contributions span communication-aware motion planning, robotic router formation, and the co-optimization of communication and motion resources, enabling robots to operate efficiently under realistic fading channel conditions. Mostofi's foundational work on wireless channel characterization and estimation in robotic networks — cited dozens to over a hundred times per paper — has become essential reading for researchers integrating communications theory with autonomous systems. Her more recent advances in 3D through-wall imaging with UAVs and magnitude-based angle-of-arrival estimation further demonstrate her ability to translate elegant theoretical frameworks into transformative real-world capabilities. With a body of work accumulating hundreds of citations, Mostofi stands as one of the most influential voices shaping the future of intelligent, communication-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1Robotic Router Formation in Realistic Communication Environments117 citations · 2012
- 2Communication-Aware Motion Planning in Mobile Networks91 citations · 2011
- 3
- 4Estimation of communication signal strength in robotic networks84 citations · 2010
- 5X-Ray Vision With Only WiFi Power Measurements Using Rytov Wave Models75 citations · 2015
- 63D through-wall imaging with unmanned aerial vehicles using wifi73 citations · 2017
- 7
- 8
- 9
- 10